iPad12,1
Geekbench ML Score
1633
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 12 2023 07:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPad12,1 |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.65 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4608
493.8 IPS |
|
|
Image Classification (F16)
|
100% |
4418
473.4 IPS |
|
|
Image Classification (I8)
|
81% |
430
46.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1445
8.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
9.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
7736
31.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8695
35.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
127
0.52 IPS |
|
|
Object Detection (F32)
|
94% |
4321
151.6 IPS |
|
|
Object Detection (F16)
|
94% |
4681
164.3 IPS |
|
|
Object Detection (I8)
|
52% |
573
20.1 IPS |
|
|
Face Detection (F32)
|
67% |
5733
65.9 IPS |
|
|
Face Detection (F16)
|
67% |
5215
59.9 IPS |
|
|
Face Detection (I8)
|
75% |
511
5.87 IPS |
|
|
Text Classification (F32)
|
100% |
757
299.5 IPS |
|
|
Text Classification (F16)
|
100% |
660
261.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1054
162.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1010
155.6 IPS |
